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An introduction to compression and Compressed Sensing with 1D and 2D examples.

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Compressed Sensing tutorial

  • In this repository are available the Python and Matlab files to replicate the experiments from my Bachelor's thesis: "Compressed Sensing for seismic acquisition".

  • Additionally, csDockerfile is a dockerfile constructed with the dependencies needed to replicate the Python routines. In order to build an image with it, you have to run the following command:

docker build -f (path to csDockerfile) (path to context)
  • The Matlab functions needed to replicate the scripts are also available to download in the "Matlab_dependencies" folder. (once downloaded, you need to add to the path the folder "Matlab_dependencies").

  • Also, you can find the PDF version of my thesis.

IMPORTANT: in order to get the files to work as expected, the paths to read the image (LOLA.jpg) and the SEGY file (gob_20200731_synthetic_shot-gather.sgy) need to be changed to your own.

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